Learn PULUMI-AUTOMATION with Real Code Examples

Provision AWS S3 bucket using TypeScript Automation API

Programmatically deploy Kubernetes cluster with Python

CI/CD pipeline that dynamically creates environments per branch

Automated testing of infrastructure updates in a staging environment

Multi-cloud deployments orchestrated via Go Automation API scripts

Check Automation API logs for errors

Verify cloud provider credentials

Ensure Pulumi SDK versions match CLI version

Validate stack configuration and secrets

Monitor stack state for inconsistencies

Use Automation API to preview stack changes

Run stack updates in sandbox environments

Validate outputs against expected infrastructure state

Test multi-stack deployments programmatically

Use Pulumi’s testing framework for unit testing resources

Local Pulumi Automation API scripts

CI/CD pipeline integrated automation

Multi-stack orchestration from application scripts

Pulumi Service backend for centralized state

Self-hosted backend for enterprise compliance

Pulumi CLI

Pulumi SDK for TypeScript, Python, Go, C#

Pulumi Service or self-hosted backend

Automation API libraries

CI/CD integration tools (GitHub Actions, GitLab CI, Jenkins, etc.)

AWS, GCP, Azure, Kubernetes, and other cloud providers

CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)

Secrets management systems (Vault, environment variables)

Testing frameworks for infrastructure validation

Custom automation tooling via API integration

Reuse Automation API functions across stacks

Use secrets and configuration effectively

Integrate with CI/CD pipelines for repeatability

Programmatically validate changes before deployment

Monitor scripts and backend for consistency

Debugging Automation API scripts

Managing state and secrets programmatically

Integrating multiple cloud providers in one workflow

Testing programmatic infrastructure safely

Scaling automation for large infrastructure fleets